Description
High-dimensional datasets can be reduced into lower-dimensional embeddings for visualization or machine learning. This Python library implements UMAP, helping researchers and data scientists explore structure in text, image, biological, or numeric feature data.
It is used from notebooks and scripts rather than as a standalone app. Results depend on parameters and input data, so visual clusters should be treated as exploratory evidence, not automatic proof.